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Infrastructure Security Algorithm prioritizes cyber defense for power grids and critical infrastructure, mitigating ransomware, blackout risks, and cascading failures by guiding utilities, regulators, and cyber insurers on optimal security investment allocation.

Key Points

An algorithm that optimizes security spending to cut ransomware and blackout risks across critical infrastructure.

✅ Guides utilities on optimal security allocation

✅ Uses incentives to correct human risk biases

✅ Prioritizes assets to prevent cascading outages

Millions of people could suddenly lose electricity if a ransomware attack just slightly tweaked energy flow onto the U.S. power grid, as past US utility intrusions have shown.

No single power utility company has enough resources to protect the entire grid, but maybe all 3,000 of the grid's utilities could fill in the most crucial security gaps if there were a map showing where to prioritize their security investments.

Purdue University researchers have developed an algorithm to create that map. Using this tool, regulatory authorities or cyber insurance companies could establish a framework for protecting the U.S. power grid that guides the security investments of power utility companies to parts of the grid at greatest risk of causing a blackout if hacked.

Power grids are a type of critical infrastructure, which is any network - whether physical like water systems or virtual like health care record keeping - considered essential to a country's function and safety. The biggest ransomware attacks in history have happened in the past year, affecting most sectors of critical infrastructure in the U.S. such as grain distribution systems in the food and agriculture sector and the Colonial Pipeline, which carries fuel throughout the East Coast, prompting increased military preparation for grid hacks in the U.S.

With this trend in mind, Purdue researchers evaluated the algorithm in the context of various types of critical infrastructure in addition to the power sector, including electricity-sector IoT devices that interface with grid operations. The goal is that the algorithm would help secure any large and complex infrastructure system against cyberattacks.

"Multiple companies own different parts of infrastructure. When ransomware hits, it affects lots of different pieces of technology owned by different providers, so that's what makes ransomware a problem at the state, national and even global level," said Saurabh Bagchi, a professor in the Elmore Family School of Electrical and Computer Engineering and Center for Education and Research in Information Assurance and Security at Purdue. "When you are investing security money on large-scale infrastructures, bad investment decisions can mean your power grid goes out, or your telecommunications network goes out for a few days."

Protecting infrastructure from hacks by improving security investment decisions

The researchers tested the algorithm in simulations of previously reported hacks to four infrastructure systems: a smart grid, industrial control system, e-commerce platform and web-based telecommunications network. They found that use of this algorithm results in the most optimal allocation of security investments for reducing the impact of a cyberattack.

The team's findings appear in a paper presented at this year's IEEE Symposium on Security and Privacy, the premier conference in the area of computer security. The team comprises Purdue professors Shreyas Sundaram and Timothy Cason and former PhD students Mustafa Abdallah and Daniel Woods.

"No one has an infinite security budget. You must decide how much to invest in each of your assets so that you gain a bump in the security of the overall system," Bagchi said.

The power grid, for example, is so interconnected that the security decisions of one power utility company can greatly impact the operations of other electrical plants. If the computers controlling one area's generators don't have adequate security protection, as seen when Russian hackers accessed control rooms at U.S. utilities, then a hack to those computers would disrupt energy flow to another area's generators, forcing them to shut down.

Since not all of the grid's utilities have the same security budget, it can be hard to ensure that critical points of entry to the grid's controls get the most investment in security protection.

The algorithm that Purdue researchers developed would incentivize each security decision maker to allocate security investments in a way that limits the cumulative damage a ransomware attack could cause. An attack on a single generator, for instance, would have less impact than an attack on the controls for a network of generators, which sophisticated grid-disruption malware can target at scale, rather than for the protection of a single generator.

Building an algorithm that considers the effects of human behavior

Bagchi's research shows how to increase cybersecurity in ways that address the interconnected nature of critical infrastructure but don't require an overhaul of the entire infrastructure system to be implemented.

As director of Purdue's Center for Resilient Infrastructures, Systems, and Processes, Bagchi has worked with the U.S. Department of Defense, Northrop Grumman Corp., Intel Corp., Adobe Inc., Google LLC and IBM Corp. on adopting solutions from his research. Bagchi's work has revealed the advantages of establishing an automatic response to attacks, and analyses like Symantec's Dragonfly report highlight energy-sector risks, leading to key innovations against ransomware threats, such as more effective ways to make decisions about backing up data.

There's a compelling reason why incentivizing good security decisions would work, Bagchi said. He and his team designed the algorithm based on findings from the field of behavioral economics, which studies how people make decisions with money.

"Before our work, not much computer security research had been done on how behaviors and biases affect the best defense mechanisms in a system. That's partly because humans are terrible at evaluating risk and an algorithm doesn't have any human biases," Bagchi said. "But for any system of reasonable complexity, decisions about security investments are almost always made with humans in the loop. For our algorithm, we explicitly consider the fact that different participants in an infrastructure system have different biases."

To develop the algorithm, Bagchi's team started by playing a game. They ran a series of experiments analyzing how groups of students chose to protect fake assets with fake investments. As in past studies in behavioral economics, they found that most study participants guessed poorly which assets were the most valuable and should be protected from security attacks. Most study participants also tended to spread out their investments instead of allocating them to one asset even when they were told which asset is the most vulnerable to an attack.

Using these findings, the researchers designed an algorithm that could work two ways: Either security decision makers pay a tax or fine when they make decisions that are less than optimal for the overall security of the system, or security decision makers receive a payment for investing in the most optimal manner.

"Right now, fines are levied as a reactive measure if there is a security incident. Fines or taxes don't have any relationship to the security investments or data of the different operators in critical infrastructure," Bagchi said.

In the researchers' simulations of real-world infrastructure systems, the algorithm successfully minimized the likelihood of losing assets to an attack that would decrease the overall security of the infrastructure system.

Bagchi's research group is working to make the algorithm more scalable and able to adapt to an attacker who may make multiple attempts to hack into a system. The researchers' work on the algorithm is funded by the National Science Foundation, the Wabash Heartland Innovation Network and the Army Research Lab.

Cybersecurity is an area of focus through Purdue's Next Moves, a set of initiatives that works to address some of the greatest technology challenges facing the U.S. Purdue's cybersecurity experts offer insights and assistance to improve the protection of power plants, electrical grids and other critical infrastructure.

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Africa 2030 Energy Mix Forecast finds electricity generation doubling, with fossil fuels dominant, non-hydro renewables under 10%, hydro vulnerable to droughts, and machine-learning analysis of planned power plants shaping climate and investment decisions.

Key Points

An analysis predicting Africa's 2030 power mix, with fossil fuels dominant, limited renewables growth, and hydro risks.

✅ ML model assesses 2,500 planned plants' commissioning odds

✅ Fossil fuels ~66% of generation; non-hydro RE <10% by 2030

✅ Policy shifts and finance reallocation to scale solar and wind

New research today from the University of Oxford predicts that total electricity generation across the African continent will double by 2030, with fossil fuels continuing to dominate the energy mix posing potential risk to global climate change commitments.

The study, published in Nature Energy, uses a state-of-the art machine-learning technique to analyse the pipeline of more than 2,500 currently-planned power plants and their chances of being successfully commissioned. It shows the share of non-hydro renewables in African electricity generation is likely to remain below 10% in 2030, although this varies by region.

'Africa's electricity demand is set to increase significantly as the continent strives to industrialise and improve the wellbeing of its people, which offers an opportunity to power this economic development and expand universal electricity access through renewables' says Galina Alova, study lead author and researcher at the Oxford Smith School of Enterprise and the Environment.

'There is a prominent narrative in the energy planning community that the continent will be able to take advantage of its vast renewable energy resources and rapidly decreasing clean technology prices to leapfrog to renewables by 2030 but our analysis shows that overall it is not currently positioned to do so.'

The study predicts that in 2030, fossil fuels will account for two-thirds of all generated electricity across Africa. While an additional 18% of generation is set to come from hydro-energy projects across Africa. These have their own challenges, such as being vulnerable to an increasing number of droughts caused by climate change.

The research also highlights regional differences in the pace of the transition to renewables across Sub-Saharan Africa, with southern Africa leading the way. South Africa alone is forecast to add almost 40% of Africa's total predicted new solar capacity by 2030.

'Namibia is committed to generate 70% of its electricity needs from renewable sources, including all the major alternative sources such as hydropower, wind and solar generation, by 2030, as specified in the National Energy Policy and in Intended Nationally Determined Contributions under Paris Climate Change Accord,' says Calle Schlettwein, Namibia Minister of Water (former Minister of Finance and Minister of Industrialisation). 'We welcome this study and believe that it will support the refinement of strategies for increasing generation capacity from renewable sources in Africa and facilitate both successful and more effective public and private sector investments in the renewable energy sector.'

Minister Schlettwein adds: 'The more data-driven and advanced analytics-based research is available for understanding the risks associated with power generation projects, the better. Some of the risks that could be useful to explore in the future are the uncertainties in hydrological conditions and wind regimes linked to climate change, and economic downturns such as that caused by the COVID-19 pandemic.'

The study further suggests that a decisive move towards renewable energy in Africa would require a significant shock to the current system. This includes large-scale cancellation of fossil fuel plants currently being planned. In addition, the study identifies ways in which planned renewable energy projects can be designed to improve their success chances for example, smaller size, fitting ownership structure, and availability of development finance for projects.

'The development community and African decision makers need to act quickly if the continent wants to avoid being locked into a carbon-intense energy future' says Philipp Trotter, study author and researcher at the Smith School. 'Immediate re-directions of development finance from fossil fuels to renewables are an important lever to increase experience with solar and wind energy projects across the continent in the short term, creating critical learning curve effects.'

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Alberta Electricity Rebate Extension provides $50 monthly credits, utility bill relief, and an natural gas rebate, supporting homes, farms, and small businesses with energy costs through December 2022, capped at 250 MWh per year.

Key Points

A provincial program extending $50 credits and energy relief, with a natural gas rebate for eligible consumers in 2022.

✅ Up to $300 in bill credits; auto-applied to eligible accounts

✅ Applies to whole bill; limit 250 MWh/year consumption

✅ Natural gas rebate triggers above $6.50/GJ Oct-Mar 2023

Alberta's electricity rebate program has been extended by three months amid an electricity price spike in Alberta, and will now be in effect until the end of December, the government said.

The program was originally to provide more than 1.9 million homes, farms and small businesses with $50 monthly credits on their electricity bills, complementing a consumer price cap on power bills, for July, August and September. It will now also cover the final three months of 2022.

Those eligible for the rebate could receive up to $300 in credits until the end of December, a relief for Alberta ratepayers facing deferral costs.

The program, designed to provide relief to Albertans hit hard by high utility bills and soaring energy prices, will cost the Alberta government $600 million.

Albertans who have consumed electricity within the past calendar year, up to a maximum of 250 megawatt hours per year, are eligible for the rebates, which will be automatically applied to consumer bills, as seen in Ontario electricity bill support initiatives.

The rebates will apply to the entire bill, similar to a lump-sum credit in Newfoundland and Labrador, not just the energy portion, the government said. The rebates will be automatic and no application will be needed.

Starting October, the government will enact a natural gas rebate program until March 2023 that will kick in when prices exceed $6.50 per gigajoule, and Alberta's consumer price cap on electricity will remain in place.

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Global Decarbonization Strategies align renewable energy, electrification, clean air policies, IMO sulfur cap, LNG fuels, and the EU 2050 roadmap to cut carbon intensity and meet Paris Agreement targets via EVs and efficiency.

Key Points

Frameworks that cut emissions via renewables, EVs, efficiency, cleaner marine fuels, and EU policy roadmaps.

✅ Renewables scale as wind and solar outcompete new coal and gas.

✅ Electrification of transport grows as EV costs fall and charging expands.

✅ IMO 2020 sulfur cap and LNG shift cut shipping emissions and particulates.

Are we doing enough to save the planet? Silly question. The latest prognosis from the United Nations’ Intergovernmental Panel on Climate Change made for gloomy reading. Fundamental to the Paris Agreement is the target of keeping global average temperatures from rising beyond 2°C. The UN argues that radical measures are needed, and investment incentives for clean electricity are seen as critical by many leaders to accelerate progress to meet that target.

Renewable power and electrification of transport are the pillars of decarbonization. It’s well underway in renewables - the collapse in costs make wind and solar generation competitive with new build coal and gas.

Renewables’ share of the global power market will triple by 2040 from its current level of 6% according to our forecasts.

The consumption side is slower, awaiting technological breakthrough and informed by efforts in countries such as New Zealand’s electricity transition to replace fossil fuels with electricity. The lower battery costs needed for electric vehicles (EVs) to compete head on and displace internal combustion engine (ICE)  cars are some years away. These forces only start to have a significant impact on global carbon intensity in the 2030s. Our forecasts fall well short of the 2°C target, as does the IEA’s base case scenario.

Yet we can’t just wait for new technology to come to the rescue. There are encouraging signs that society sees the need to deal with a deteriorating environment. Three areas of focus came out in discussion during Wood Mackenzie’s London Energy Forum - unrelated, different in scope and scale, each pointing the way forward.

First, clean air in cities.  China has shown how to clean up a local environment quickly. The government reacted to poor air quality in Beijing and other major cities by closing older coal power plants and forcing energy intensive industry and the residential sector to shift away from coal. The country’s return on investment will include a substantial future health care dividend.

European cities are introducing restrictions on diesel cars to improve air quality. London’s 2017 “toxicity charge” is a precursor of an Ultra-Low Emission Zone in 2019, and aligns with UK net-zero policy changes that affect transport planning, to be extended across much of the city by 2020. Paris wants to ban diesel cars from the city centre by 2025 and ICE vehicles by 2030. Barcelona, Madrid, Hamburg and Stuttgart are hatching similar plans.

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Second, desulphurisation of global shipping. High sulphur fuel oil (HSFO) meets around 3.5 million barrels per day (b/d) of the total marine market of 5 million b/d. A maximum of 3.5% sulphur content is allowed currently. The International Maritime Organisation (IMO) implements a 0.5% limit on all shipping in 2020, dramatically reducing the release of sulphur oxides into the atmosphere.

Some ships will switch to very low sulphur fuel oil, of which only around 1.4 million b/d will be available in 2020. Others will have to choose between investing in scrubbers or buying premium-priced low sulphur marine gas oil.

Longer-term, lower carbon-intensity gas is a winner as liquefied natural gas becomes fuel of choice for many newbuilds. Marine LNG demand climbs from near zero to 50 million tonnes per annum (tpa) by 2040 on our forecasts, behind only China, India and Japan as a demand centre. LNG will displace over 1 million b/d of oil demand in shipping by 2040.

Third, Europe’s radical decarbonisation plans. Already in the vanguard of emissions reductions policy, the European Commission is proposing to reduce carbon emissions for new cars and vans by 30% by 2030 versus 2020. The targets come with incentives for car manufacturers linked to the uptake of EVs.

The 2050 roadmap, presently at the concept stage, envisages a far more demanding regime, with EU electricity plans for 2050 implying a much larger power system. The mooted 80% reduction in emissions compared with 1990 will embrace all sectors. Power and transport are already moving in this direction, but the legacy fuel mix in many other sectors will be disrupted, too.

Near zero-energy buildings and homes might be possible with energy efficiency improvements, renewables and heat pumps. Electrification, recycling and bioenergy could reduce fossil fuel use in energy intensive sectors like steel and aluminium, and Europe’s oil majors going electric illustrates how incumbents are adapting. Some sectors will cite the risk decarbonisation poses to Europe’s global competitiveness. If change is to come, industry will need to build new partnerships with society to meet these targets.

The 2050 roadmap signals the ambition and will be game changing for Europe if it is adopted. It would provide a template for a global roll out that would go a long way toward meeting UN’s concerns.

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EV Flood Fire Risks highlight climate change impacts, lithium-ion battery hazards, water damage, post-submersion inspection, first responder precautions, manufacturer safeguards, and insurance considerations for extreme weather, flood-prone areas, and hurricane aftermaths.

Key Points

Water-exposed EV lithium-ion batteries may ignite later, requiring inspection, isolation, and trained responders.

✅ Avoid driving through floodwaters; park on high ground.

✅ After submersion, isolate vehicle; seek qualified inspection.

✅ Inform first responders and insurers about EV water damage.

As climate change intensifies the frequency and severity of extreme weather events, concerns about electric vehicle (EV) safety in flood-prone areas have come to the forefront. Recent warnings from officials regarding the risks of electric vehicles catching fire due to flooding from Hurricane Idalia underscore the need for heightened awareness and preparedness among consumers and emergency responders, as well as attention to grid reliability during disasters.

The alarming incidents of EVs igniting after being submerged in floodwaters have raised critical questions about the safety of these vehicles during severe weather conditions. While electric vehicles are often touted for their environmental benefits and lower emissions, it is crucial to understand the potential risks associated with their battery systems when exposed to water, even as many drivers weigh whether to buy an electric car for daily use.

The Risks of Submerging Electric Vehicles

Electric vehicles primarily rely on lithium-ion batteries, which can be sensitive to water exposure. When these batteries are submerged, they risk short-circuiting, which may lead to fires. Unlike traditional gasoline vehicles, where fuel may leak out, the sealed nature of an EV’s battery can create hazardous situations when compromised. Experts warn that even after water exposure, the risk of fire can persist, sometimes occurring days or weeks later.

Officials emphasize the importance of vigilance in flood-prone areas, including planning for contingencies like mobile charging and energy storage that support recovery. If an electric vehicle has been submerged, it is crucial to have it inspected by a qualified technician before attempting to drive it again. Ignoring this can lead to catastrophic consequences not only for the vehicle owner but also for surrounding individuals and properties.

Official Warnings and Recommendations

In light of these dangers, safety officials have issued guidelines for electric vehicle owners in flood-prone areas. Key recommendations include:

1. Avoid Driving in Flooded Areas: The most straightforward advice is to refrain from driving through flooded streets, which can not only damage the vehicle but also pose risks to personal safety.

2. Inspection After Flooding: If an EV has been submerged, owners should seek immediate professional inspection. Technicians can evaluate the battery and electrical systems for damage and determine if the vehicle is safe to operate.

3. Inform Emergency Responders: In flood situations, informing emergency personnel about the presence of electric vehicles can help them mitigate risks during rescue operations, including firefighter health risks that may arise. First responders are trained to handle conventional vehicles but may need additional precautions when dealing with EVs.

Industry Response and Innovations

In response to rising concerns, electric vehicle manufacturers are working to enhance the safety features of their vehicles. This includes developing waterproof battery enclosures and improving drainage systems to prevent water intrusion, as well as exploring vehicle-to-home power for resilience during outages. Some manufacturers are also investing in research to improve battery chemistry, making them more resilient in extreme conditions.

The automotive industry recognizes that consumer education is equally important, particularly around utility impacts from mass-market EVs that affect planning. Manufacturers and safety organizations are encouraged to disseminate information about proper EV maintenance, the importance of inspections after flooding, and safety protocols for both owners and first responders.

The Role of Insurance Companies

As the risks associated with electric vehicle flooding become more apparent, insurance companies are also reassessing their policies. With increasing incidences of extreme weather, insurers are likely to adapt coverage options related to water damage and fire risks specific to electric vehicles. Policyholders should consult with their insurance providers to ensure they understand their coverage in the event of flooding.

Preparing for the Future

With the increasing adoption of electric vehicles, it is vital to prepare for the challenges posed by climate change and evolving state power grids capacity. Community awareness campaigns can play a significant role in educating residents about the risks and safety measures associated with electric vehicles during flooding events. By fostering a well-informed public, the likelihood of accidents and emergencies can be reduced.

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EV Subsidies in Canada influence greenhouse-gas emissions based on electricity grid mix; in Ontario and Quebec they reduce pollution, while fossil-fuel grids blunt benefits. Compare costs per tonne with carbon tax and renewable energy policies.

Key Points

Government rebates for electric vehicles, whose emissions impact and cost-effectiveness depend on provincial grid mix.

✅ Impact varies by grid emissions; clean hydro-nuclear cuts CO2.

✅ MEI estimates up to $523 per tonne vs $50 carbon price.

✅ Best value: tax carbon; target renewables, efficiency, hybrids.

Bad ideas sometimes look better, and sell better, than good ones – as with the proclaimed electric-car revolution that policymakers tout today. Not always, or else Canada wouldn’t be the mostly well-run place that it is. But sometimes politicians embrace a less-than-best policy – because its attractive appearance may make it more likely to win the popularity contest, right now, even though it will fail in the long run.

The most seasoned political advisers know it. Pollsters too. Voters, in contrast, don’t know what they don’t know, which is why bad policy often triumphs. At first glance, the wrong sometimes looks like it must be right, while better and best give the appearance of being bad and worst.

This week, the Montreal Economic Institute put out a study on the costs and benefits of taxpayer subsidies for electric cars. They considered the logic of the huge amounts of money being offered to purchasers in the country’s two largest provinces. In Quebec, if you buy an electric vehicle, the government will give you up to $8,000; in Ontario, buying an electric car or truck entitles you to a cheque from the taxpayer of between $6,000 and $14,000. The subsidies are rich because the cars aren’t cheap.

Will putting more electric cars on the road lower greenhouse-gas emissions? Yes – in some provinces, where they can be better for the planet when the grid is clean. But it all depends on how a province generates electricity. In places like Alberta, Saskatchewan, Nova Scotia and Nunavut territory, where most electricity comes from burning fossil fuels, an electric car may actually generate more greenhouse gases than one running on traditional gasoline. The tailpipe of an electric vehicle may not have any emissions. But quite a lot of emissions may have been generated to produce the power that went to the socket that charged it.

A few years ago, University of Toronto engineering professor Christopher Kennedy estimated that electric cars are only less polluting than the gasoline vehicles they replace when the local electrical grid produces a good chunk of its power from renewable sources – thereby lowering emissions to less than roughly 600 tonnes of CO2 per gigawatt hour.

Unfortunately, the electricity-generating systems in lots of places – from India to China to many American states – are well above that threshold. In those jurisdictions, an electric car will be powered in whole or in large part by electricity created from the burning of a fossil fuel, such as coal. As a result, that car, though carrying the green monicker of “electric,” is likely to be more polluting than a less costly model with an internal combustion or hybrid engine.

The same goes for the Canadian juridictions mentioned above. Their electricity is dirtier, so operating an electric car there won’t be very green. Alberta, for example, is aiming to generate 30 per cent of its electricity from renewable sources by 2030 – which means that the other 70 per cent of its electricity will still come from fossil fuels. (Today, the figure is even higher.) An Albertan trading in a gasoline car for an electric vehicle is making a statement – just not the one he or she likely has in mind.

In Ontario and Quebec, however, most electricity is generated from non-polluting sources, even though Canada still produced 18% from fossil fuels in 2019 overall. Nearly all of Quebec’s power comes from hydro, and more than 90 per cent of Ontario’s electricity is from zero-emission generation, mainly hydro and nuclear. British Columbia, Manitoba and Newfoundland and Labrador also produce the bulk of their electricity from hydro. Electric cars in those provinces, powered as they are by mostly clean electricity, should reduce emissions, relative to gas-powered cars.

But here’s the rub: Electric cars are currently expensive, and, as a recent survey shows, consequently not all that popular. Ontario and Quebec introduced those big subsidies in an attempt to get people to buy them. Those subsidies will surely put more electric cars on the road and in the driveways of (mostly wealthy) people. It will be a very visible policy – hey, look at all those electrics on the highway and at the mall!

However, that result will be achieved at great cost. According to the MEI, for Ontario to reach its goal of electrics constituting 5 per cent of new vehicles sold, the province will have to dish out up to $8.6-billion in subsidies over the next 13 years.

And the environmental benefits achieved? Again, according to the MEI estimate, that huge sum will lower the province’s greenhouse-gas emissions by just 2.4 per cent. If the MEI’s estimate is right, that’s far too many bucks for far too small an environmental bang.

Here’s another way to look at it: How much does it cost to reduce greenhouse-gas emissions by other means? Well, B.C.’s current carbon tax is $30 a tonne, or a little less than 7 cents on a litre of gasoline. It has caused GHG emissions per unit of GDP to fall in small but meaningful ways, thanks to consumers and businesses making millions of little, unspectacular decisions to reduce their energy costs. The federal government wants all provinces to impose a cost equivalent to $50 a tonne – and every economic model says that extra cost will make a dent in greenhouse-gas emissions, though in ways that will not involve politicians getting to cut any ribbons or hold parades.

What’s the effective cost of Ontario’s subsidy for electric cars? The MEI pegs it at $523 per tonne. Yes, that subsidy will lower emissions. It just does so in what appears to be the most expensive and inefficient way possible, rather than the cheapest way, namely a simple, boring and mildly painful carbon tax.

Electric vehicles are an amazing technology. But they’ve also become a way of expressing something that’s come to be known as “virtue signalling.” A government that wants to look green sees logic in throwing money at such an obvious, on-brand symbol, or touting a 2035 EV mandate as evidence of ambition. But the result is an off-target policy – and a signal that is mostly noise.

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